Posted time November 29, 2023 Location Dubai Job type Full-time

Job Description:


We are seeking a highly motivated and experienced Planning Optimization Engineer/Consultant to join our team and play a pivotal role in developing and implementing cutting-edge planning optimization solutions for container terminals and logistics operations. The ideal candidate will possess a strong academic background in industrial engineering, operations research, computer science, or a related field, coupled with relevant industry experience in planning, optimization, and data science. You will be responsible for designing, developing, and implementing algorithms, models, and data-driven solutions to optimize complex operational processes, ensuring efficient resource utilization, reduced costs, and enhanced productivity.


  • Develop and implement complex mathematical models and algorithms to address operational challenges in container terminal management, logistics, and transportation.
  • Apply operational research and data science methodologies to solve intricate business problems, such as resource allocation, scheduling, route optimization, and predictive modeling.
  • Lead efforts to optimize container/cargo/resources scheduling, vessel/yard planning and management, gate operations, equipment allocation, and other logistics supporting entities through data-driven approaches.
  • Utilize machine learning, deep learning, and advanced analytics techniques to create predictive models that optimize resource allocation, reduce bottlenecks, and improve overall efficiency.
  • Conduct in-depth data analysis to identify patterns, anomalies, and opportunities for optimization within large datasets.
  • Explore the potential of technologies such as quantum computing to solve complex optimization problems that are beyond the capabilities of classical computing.
  • Collaborate closely with cross-functional teams, including data engineers, software developers, domain experts, and operational staff, to implement and deploy optimization solutions.
  • Create informative data visualizations and dashboards to communicate optimization results and insights to stakeholders.
  • Conduct research and stay updated with the latest developments in operational research, optimization techniques, data science, and optimization technologies to drive innovation within the company.
  • Continuously evaluate the performance of optimization models and algorithms, fine-tuning them for real-world deployment and guide the team during any assigned project.


  • Ph.D. in Industrial Engineering, Computer Science, Operations Research, or a related field.
  • 8-10 years of experience in planning optimization, preferably in the port, terminal, or logistics industries.
  • Proven expertise in designing, developing, and implementing optimization algorithms, models, and data-driven solutions.
  • Strong understanding of mathematical optimization techniques, including linear programming, nonlinear programming, mixed-integer programming, and data analytics.
  • Familiarity with machine learning, deep learning, and advanced analytics techniques, with in depth knowledge of planning optimization solvers like Gurobi, cplex etc.
  • Excellent programming skills in Python, MATLAB, or equivalent languages.
  • Experience with enterprise systems engineering, system structuring and data integration.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.